Lloyds Banking (LLOBF) Change in Cash (2009 - 2021)
Lloyds Banking's Change in Cash came in at -$13.48 billion for the year ended Dec 31, 2025, compared with -$23.04 billion a year earlier.
Analysis
Lloyds Banking (LLOBF) Change in Cash (2009 - 2021) Analysis & Trends
Going back to the year ended Dec 31, 2009, Lloyds Banking's Change in Cash data covers 17 years.
- The five-year range for annual Change in Cash is -$23.04 billion (the year ended Dec 31, 2024) to $20.59 billion (the year ended Dec 31, 2022).
- Per Business Quant, earlier years put Change in Cash at -$23.04 billion in the year ended Dec 31, 2024, -$8.7 billion in the year ended Dec 31, 2023, $20.59 billion in the year ended Dec 31, 2022 and $1.44 billion in the year ended Dec 31, 2021 (-94.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.89 Bn | 905.89 Bn | - | -2.33 Bn |
| 2 | Bank Of America | 354.09 Bn | -2,022.02 Bn | - | 19.90 Bn |
| 3 | Hsbc Holdings | 294.48 Bn | -1,809.11 Bn | - | - |
| 4 | Morgan Stanley | 288.62 Bn | -220.47 Bn | - | 26.61 Bn |
| 5 | Royal Bank Of Canada | 286.75 Bn | -543.29 Bn | - | 3.44 Bn |
| 6 | Goldman Sachs | 268.09 Bn | -3,289.02 Bn | - | 7.74 Bn |
| 7 | Wells Fargo & Company | 257.35 Bn | 257.35 Bn | - | -22.10 Bn |
| 8 | Mitsubishi Ufj Financial | 242.13 Bn | -99.26 Bn | 10.89 Bn | - |
| 9 | American Express | 218.58 Bn | 18.07 Bn | - | -2.04 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -487.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 1.41 Bn |
| Dec 31, 2018 | -4.48 Bn |
| Dec 31, 2015 | 10.33 Bn |
| Dec 31, 2014 | -2.61 Bn |
| Dec 31, 2013 | -55.47 Bn |
| Dec 31, 2010 | -5.36 Bn |
| Dec 31, 2009 | 2.67 Bn |
API Access
Lloyds Banking Change in Cash API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-cash&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "ticker": "LLOBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-cash&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();